Dynamic MRI in a COVID-19 patient: a case series
- Authors: Vasilev Y.A.1, Grik E.A.2, Panina O.Y.1,3,4, Khoruzhaya A.N.1, Semenov D.S.1, Bazhin A.V.1, Vasileva Y.N.4
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Affiliations:
- Moscow Center for Diagnostics and Telemedicine
- Lincoln Medical Center
- City Clinical Oncological Hospital 1 of the Department of healthcare of the city of Moscow
- Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
- Issue: Vol 4, No 1 (2023)
- Pages: 71-79
- Section: Case reports
- URL: https://journals.rcsi.science/DD/article/view/146877
- DOI: https://doi.org/10.17816/DD114723
- ID: 146877
Cite item
Abstract
Extensive spread of the coronavirus disease (COVID-19) prompted an investigation of its diagnostic features. Acute viral pneumonia associated with COVID-19 has been described in detail using CT, radiography, and MRI. There is no data in the literature on the descriptive picture observed with dynamic MRI. Considering a comprehensive diagnostic approach, radiologists should know how to correctly recognize and interpret COVID-19 on MRI. This case series demonstrated the ability of dynamic MRI to detect the cloudy sky sign and distinguish it from consolidation in COVID-19 patients, thus presumably distinguishing between early or mild changes and a progressive clinical course. These changes in dynamic lung images on MRI can be recorded depending on the phase of the respiratory cycle. Thus, MRI, as a radiation-free tool that can be used to examine a patient with acute viral pneumonia COVID-19, can be useful in cases where access to computed tomography is limited and dynamic morphofunctional imaging is required.
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##article.viewOnOriginalSite##About the authors
Yuriy A. Vasilev
Moscow Center for Diagnostics and Telemedicine
Email: y.vasilev@npcmr.ru
ORCID iD: 0000-0002-0208-5218
SPIN-code: 4458-5608
MD, Cand. Sci. (Med.)
Russian Federation, MoscowEvgeniia A. Grik
Lincoln Medical Center
Email: evgeniyagrik@gmail.com
ORCID iD: 0000-0002-7908-3982
SPIN-code: 5558-7307
United States, The Bronx, NY
Olga Yu. Panina
Moscow Center for Diagnostics and Telemedicine; City Clinical Oncological Hospital 1 of the Department of healthcare of the city of Moscow; Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
Email: o.panina@npcmr.ru
ORCID iD: 0000-0002-8684-775X
SPIN-code: 5504-8136
Russian Federation, Moscow; Moscow; Moscow
Anna N. Khoruzhaya
Moscow Center for Diagnostics and Telemedicine
Author for correspondence.
Email: a.khoruzhaya@npcmr.ru
ORCID iD: 0000-0003-4857-5404
SPIN-code: 7948-6427
Russian Federation, Moscow
Dmitriy S. Semenov
Moscow Center for Diagnostics and Telemedicine
Email: d.semenov@npcmr.ru
ORCID iD: 0000-0002-4293-2514
SPIN-code: 2278-7290
Russian Federation, Moscow
Alexander V. Bazhin
Moscow Center for Diagnostics and Telemedicine
Email: a.bazhin@npcmr.ru
ORCID iD: 0000-0003-3198-1334
SPIN-code: 6122-5786
Russian Federation, Moscow
Yulia N. Vasileva
Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
Email: drugya@yandex.ru
ORCID iD: 0000-0002-1066-3989
SPIN-code: 9777-2067
MD, Cand. Sci. (Med.)
Russian Federation, MoscowReferences
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